Plotly

ny_noaa_clean =
  ny_noaa |> 
  sample_frac(0.1) |> 
  mutate(across(c(prcp, snow, snwd, tmax, tmin), as.numeric)) |> 
  separate(date, into = c("year", "month", "day"), sep = "-") |> 
  mutate(across(c(year, month, day), as.numeric)) |> 
  mutate(tmax = tmax/10, #°C
         tmin = tmin/10,
         prcp = prcp/10) |>  #mm 
  drop_na()

Column

Box Plot

tmax_boxplot <- ny_noaa_clean |> 
  mutate(month = factor(month)) |> 
  plot_ly(x = ~month, 
          y = ~tmax, 
          color = ~month, 
          type = "box", 
          colors = "viridis") |>
  layout(title = "Max Temperature by Month", 
         xaxis = list(title = "Month"), 
         yaxis = list(title = "Temperature (°C)"))
ggplotly(tmax_boxplot)

Column

Scatter Plot

prcp_scatter <- ny_noaa_clean |> 
  plot_ly(x = ~month, 
          y = ~prcp, 
          type = "scatter", 
          mode = "markers", 
          marker = list(color = 'blue', opacity = 0.6)) |>
  layout(title = "Monthly Precipitation Levels",
         xaxis = list(title = "Month"),
         yaxis = list(title = "Precipitation (mm)"))
ggplotly(prcp_scatter)

Violin Plot

snow_filtered <- ny_noaa_clean |>
  drop_na(snow) |>
  mutate(year = factor(year)) |>
  plot_ly(x = ~year, 
          y = ~snow, 
          color = ~year, 
          type = "violin", 
          alpha = 0.6, 
          colors = "viridis") |>
  layout(title = "Distribution of Snowfall by Year", 
         xaxis = list(title = "Year"), 
         yaxis = list(title = "Snowfall (mm)"), 
         legend = list(orientation = "h", x = 0.5, xanchor = "center", y = -0.2))
ggplotly(snow_filtered)